How can I deal with the Lavaan error: "syntax error in lavaan model syntax"?
How can I deal with the Lavaan error: "syntax error in lavaan model syntax"?
我是第一次尝试考CFA。 Lavaan 给出以下错误。
Error in lavParseModelString(model) :
lavaan ERROR: syntax error in lavaan model syntax
我的代码看起来像这样简化：
mycfa <- 'Construct =~ A +
B +
C +
D +
E +
F +
G +
H
'
fit <- cfa(mycfa, data = mydataframe)
我猜我的模型中存在回归依赖性和协方差，否则 lavaan 会输出吗？有没有人告诉我如何继续。
很简单：
library(lavaan)
#> This is lavaan 0.6-8
#> lavaan is FREE software! Please report any bugs.
mydataframe <- HolzingerSwineford1939[, paste0("x",1:8)]
names(mydataframe) <- LETTERS[1:8]
mycfa <- 'Construct =~ A +
B +
C +
D +
E +
F +
G +
H
'
fit <- cfa(mycfa, data = mydataframe)
summary(fit)
#> lavaan 0.6-8 ended normally after 30 iterations
#>
#> Estimator ML
#> Optimization method NLMINB
#> Number of model parameters 16
#>
#> Number of observations 301
#>
#> Model Test User Model:
#>
#> Test statistic 209.040
#> Degrees of freedom 20
#> P-value (Chi-square) 0.000
#>
#> Parameter Estimates:
#>
#> Standard errors Standard
#> Information Expected
#> Information saturated (h1) model Structured
#>
#> Latent Variables:
#> Estimate Std.Err z-value P(>|z|)
#> Construct =~
#> A 1.000
#> B 0.505 0.157 3.215 0.001
#> C 0.476 0.151 3.161 0.002
#> D 2.006 0.276 7.273 0.000
#> E 2.203 0.304 7.258 0.000
#> F 1.862 0.257 7.250 0.000
#> G 0.367 0.141 2.593 0.010
#> H 0.371 0.133 2.801 0.005
#>
#> Variances:
#> Estimate Std.Err z-value P(>|z|)
#> .A 1.115 0.093 11.926 0.000
#> .B 1.320 0.108 12.195 0.000
#> .C 1.220 0.100 12.198 0.000
#> .D 0.370 0.047 7.804 0.000
#> .E 0.476 0.059 8.087 0.000
#> .F 0.352 0.043 8.230 0.000
#> .G 1.150 0.094 12.224 0.000
#> .H 0.988 0.081 12.215 0.000
#> Construct 0.244 0.067 3.640 0.000
由 reprex package (v2.0.0)
于 2021-04-23 创建
我是第一次尝试考CFA。 Lavaan 给出以下错误。
Error in lavParseModelString(model) :
lavaan ERROR: syntax error in lavaan model syntax
我的代码看起来像这样简化：
mycfa <- 'Construct =~ A +
B +
C +
D +
E +
F +
G +
H
'
fit <- cfa(mycfa, data = mydataframe)
我猜我的模型中存在回归依赖性和协方差，否则 lavaan 会输出吗？有没有人告诉我如何继续。
很简单：
library(lavaan)
#> This is lavaan 0.6-8
#> lavaan is FREE software! Please report any bugs.
mydataframe <- HolzingerSwineford1939[, paste0("x",1:8)]
names(mydataframe) <- LETTERS[1:8]
mycfa <- 'Construct =~ A +
B +
C +
D +
E +
F +
G +
H
'
fit <- cfa(mycfa, data = mydataframe)
summary(fit)
#> lavaan 0.6-8 ended normally after 30 iterations
#>
#> Estimator ML
#> Optimization method NLMINB
#> Number of model parameters 16
#>
#> Number of observations 301
#>
#> Model Test User Model:
#>
#> Test statistic 209.040
#> Degrees of freedom 20
#> P-value (Chi-square) 0.000
#>
#> Parameter Estimates:
#>
#> Standard errors Standard
#> Information Expected
#> Information saturated (h1) model Structured
#>
#> Latent Variables:
#> Estimate Std.Err z-value P(>|z|)
#> Construct =~
#> A 1.000
#> B 0.505 0.157 3.215 0.001
#> C 0.476 0.151 3.161 0.002
#> D 2.006 0.276 7.273 0.000
#> E 2.203 0.304 7.258 0.000
#> F 1.862 0.257 7.250 0.000
#> G 0.367 0.141 2.593 0.010
#> H 0.371 0.133 2.801 0.005
#>
#> Variances:
#> Estimate Std.Err z-value P(>|z|)
#> .A 1.115 0.093 11.926 0.000
#> .B 1.320 0.108 12.195 0.000
#> .C 1.220 0.100 12.198 0.000
#> .D 0.370 0.047 7.804 0.000
#> .E 0.476 0.059 8.087 0.000
#> .F 0.352 0.043 8.230 0.000
#> .G 1.150 0.094 12.224 0.000
#> .H 0.988 0.081 12.215 0.000
#> Construct 0.244 0.067 3.640 0.000
由 reprex package (v2.0.0)
于 2021-04-23 创建